Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = 1.1 * weight - 56
This means that on average for every extra kilogram weight a rider loses 1.1 positions in the result.
Chaves
2
60 kgMontoya
3
64 kgMuñoz
4
63 kgLópez
8
61 kgTejada
10
63 kgAlba
20
59 kgOrdoñez
26
67 kg
2
60 kgMontoya
3
64 kgMuñoz
4
63 kgLópez
8
61 kgTejada
10
63 kgAlba
20
59 kgOrdoñez
26
67 kg
Weight (KG) →
Result →
67
59
2
26
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | CHAVES German Enrique | 60 |
| 3 | MONTOYA Javier Ignacio | 64 |
| 4 | MUÑOZ Cristian Camilo | 63 |
| 8 | LÓPEZ Robinson Fabián | 61 |
| 10 | TEJADA Harold | 63 |
| 20 | ALBA Juan Diego | 59 |
| 26 | ORDOÑEZ Santiago | 67 |